[General practitioners' perception of integrated care using communication technologies: a secondary analysis of a focus group of the Horizon 2020 funded project POLYCARE]. / Einschätzung deutscher Hausärztinnen und Hausärzte zur integrierten Versorgung mittels Kommunikationstechnologien : Sekundäranalyse einer Fokusgruppe des Horizont-2020-geförderten Projektes POLYCARE.

BACKGROUND: Integrated healthcare models (IC) have the objective of reducing the costs of an increased use of health service as well as the strong sectoral fragmentation of the German health care system. However, no national approach has been implemented in primary care to date. METHOD: Ten GPs from the Cologne/Bonn district (60% male; Ø age = 52 years [35-65]) were invited to a focus group in 2016. The interview was part of the Horizon 2020 funded POLYCARE study. A semi-structured guideline was used to assess feasibility of the POLYCARE study protocol. GPs also provided information about previous experience with and attitudes toward IC models and the relevant information and communication technologies (ICT), such as home-monitoring or communication software. This information was analyzed using a transcending secondary analysis to evaluate conditions for their successful implementation. RESULTS: Participants reported little experience with IC and ICT. However, they reported being open to both and seeing potential for time savings, better networking opportunities, and increased quality of care for their patients. The integration of social services was considered as a chance of alleviating the burden of socio-medical tasks. Barriers to the introduction of IC and ICT were seen in the initial time investment, the lack of legal structures, the concern about overabundant data, and the susceptibility to failure. CONCLUSION: The nationwide expansion of social services as well as ICT that is easy to use, less susceptible to failure, and compatible with existing structures show great potential for relieving GPs. Future research should address the concerns - such as financial and time expenses of introducing IC and ICT - of GPs by systematic investigation in long-term studies. The provision of an additional legal basis that is regulating the respective remuneration models as well as the rights and obligations of all parties, IC and ICT can play a greater role in future patient care.

Predicting drug susceptibility of non-small cell lung cancers based on genetic lesions.

Somatic genetic alterations in cancers have been linked with response to targeted therapeutics by creation of specific dependency on activated oncogenic signaling pathways. However, no tools currently exist to systematically connect such genetic lesions to therapeutic vulnerability. We have therefore developed a genomics approach to identify lesions associated with therapeutically relevant oncogene dependency. Using integrated genomic profiling, we have demonstrated that the genomes of a large panel of human non-small cell lung cancer (NSCLC) cell lines are highly representative of those of primary NSCLC tumors. Using cell-based compound screening coupled with diverse computational approaches to integrate orthogonal genomic and biochemical data sets, we identified molecular and genomic predictors of therapeutic response to clinically relevant compounds. Using this approach, we showed that v-Ki-ras2 Kirsten rat sarcoma viral oncogene homolog (KRAS) mutations confer enhanced Hsp90 dependency and validated this finding in mice with KRAS-driven lung adenocarcinoma, as these mice exhibited dramatic tumor regression when treated with an Hsp90 inhibitor. In addition, we found that cells with copy number enhancement of v-abl Abelson murine leukemia viral oncogene homolog 2 (ABL2) and ephrin receptor kinase and v-src sarcoma (Schmidt-Ruppin A-2) viral oncogene homolog (avian) (SRC) kinase family genes were exquisitely sensitive to treatment with the SRC/ABL inhibitor dasatinib, both in vitro and when it xenografted into mice. Thus, genomically annotated cell-line collections may help translate cancer genomics information into clinical practice by defining critical pathway dependencies amenable to therapeutic inhibition.